Is Oracle AI Data Platform Workbench Spark Connectors safe and trustworthy?

tashan scores Oracle AI Data Platform Workbench Spark Connectors on public evidence — tashan score 48.0/100. Audit scope: OSV advisories, install-time scripts, build provenance and declared permission surface. We do not review source code or execute the capability.

Who maintains Oracle AI Data Platform Workbench Spark Connectors?

15 GitHub contributors, source: oracle-samples/oracle-aidp-samples.

‹ The Index

Oracle AI Data Platform Workbench Spark Connectors

plugin

18 model-invokable Claude Code skills that connect Oracle AI Data Platform Workbench Spark notebooks to every common data source — Oracle Autonomous Database (ALH/ADW/ATP), ExaCS, Fusion ERP, EPM Cloud, Essbase, OCI Streaming, OCI Object Storage, Iceberg, PostgreSQL, MySQL/HeatWave, SQL Server, Snowflake, Azure ADLS Gen2, AWS S3, generic REST, custom JDBC, and Excel. Each skill produces ready-to-paste Spark code with the right auth method (wallet, IAM DB-Token, OAuth, Basic, AWS keys, etc.). Liv

Works with: Claude Code (native)
native: this artifact type is that client's own format

Category: Database — see all ranked ›

Work: Data pipelines

Who it is for: Data engineer

Install (Claude Code):

/plugin marketplace add anthropics/claude-plugins-community
/plugin install oracle-ai-data-platform-workbench-spark-connectors@claude-community

tashan score: 48.0
Adoption: 3 repos
Upkeep: 100.0
Evidence coverage: 62% of the inputs this score can use — the rest are unknown, and the score is discounted for it
Contributors: 15
License: UPL-1.0

Security audit

Not scanned yet. We audit npm-published capabilities for known advisories, install-time scripts and permission surface; this one has no npm package we can resolve, or has not reached the queue.

You searched for one. Check the rest of your stack:

npx tashan-cli doctor

Reads the config already on your machine and names what is dead, deprecated or running code at install time. No account, nothing uploaded.

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Oracle AI Data Platform Workbench Spark Connectors scores 48 today. Pro keeps the series, so you can see whether that is a project getting better or one on its way down.

The whole series behind any row, back to the first day we measured it
The replacement, named — not just the news that something died
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source ↗ · plugin:oracle-samples/oracle-aidp-samples/oracle-ai-data-platform-workbench-spark-connectors

Everything on this page is public evidence and free. What it cannot know is whether you run this — check your whole config, free, in the browser. tashan Pro adds the series behind each row and names a replacement for anything dying.

Already running this? Check your whole config — free, in your browser, nothing installed. Or npx tashan-cli doctor locally, which sends nothing at all.

Measured 2026-09-13 · scorer s5 · how · something wrong here?